Dear Mathgroup,
I am working on Confidence Intervals for parameters obtained with "nonlinear
methods".
One thing I am investigating is resampling: I estimate model parameters from my
data, bootstrap my initial residuals and combine them with my initial
"prediction" to a new, "resampled" dataset to be re-evaluated for new parameters
...
Problem:
Repeated use of NonlinearFit takes a lot of memory - too much.
How can I make NonlinearFit "forget" the old calculations?
As far as I have understood the disussions in "The book" and those by Todd
Gayley in the CleanSlate Package I have to clear lokal variables in NonlinearFit
which are created in its Modules - how can I do that?
Suggestions appreciated,
greetings from Germany,
Peter